• Name of course :

  ARTIFICAL INTELLIGENCE APPLIED TO FINANCIAL MARKETS

• Qualification awarded:

  Master (Degree Universitat Barcelona)

• Number of credits:

  60,00

• Centre responsible :

  Faculty of Economics and Business

• Length of course (in academic years):

  1

• Mode of delivery (face-to-face/ blended/ distance):

  Blended

• Rey Miró, Damià

It is intended for people with technical backgrounds, such as engineers,economists, BBA, mathematicians and physicists or with other STEM degrees. These may be recent graduates or more seasoned professionals who want to enter the world of financial markets through the application of new technologies.

The course is also open to students with no prior university education, who will acquire the same knowledge and skills and receive a specific qualification for their learner group. Information on the access requirements and other conditions can be obtained from the course directors.

Advanced knowledge: To acquire advanced training in artificial intelligence techniques and technologies for financial markets.
Development of real projects: To take part in practical projects through collaborations with leading companies in the sector.
Transferable skills: To develop project management, problem-solving and critical thinking skills.
Preparation for professional life: To acquire the preparation for leading roles in the finance sector.
Competences:

Technical competences: Ability to master algorithms for machine learning, natural language processing and big data analysis.
Practical skills: Ability to apply theoretical knowledge in practical contexts and to solve complex problems encountered in the financial sector.
Innovation and creativity: Ability to develop innovative solutions and to adapt to technological advances and changes in the market.
Teamwork: Ability to collaborate with multidisciplinary teams and communicate effectively with different stakeholders.
Networking: Ability to construct a valuable professional network through company placements and collaborations.

• Enrolment fee:

  • 7.300,00 €

  • An increase of 10% is applied to the price, up to a maximum of € 70, as administration fee

• In-company placement(s):

  Yes (consult conditions with the course directors)

• Date on which pre-enrolment begins:

  5/6/2024

• Date on which pre-enrolment ends:

  10/7/2024

• Classes begin:

  10/8/2024

• Name of individual or institution:

  Facultat d'economia i empresa

• Address:

  Avinguda Diagonal, 690, 696
  08034 Barcelona
  Espanya

• Email address:

  drey@ub.edu

• Webpage:

  http://www.ub.edu/ai

• Telephone:

  934024300

• Name of individual or institution:

  Damià Rey Miró

• Address:

  Josep Serrano 20
  08041 Barcelona
  Espanya

• Email address:

  drey@ub.edu

• Webpage:

  http://www.ub.edu/ai

• Telephone:

  677404098